机构地区: 西南大学资源环境学院,重庆北碚400700
出 处: 《土壤通报》 2017年第4期800-808,共9页
摘 要: 以重庆市万州区为例,借助Arc GIS、Geo Da、Fragtats软件,运用探索性空间数据分析、空间韵律测度及多维特征组合方法,分析研究区农村居民点空间分布、规模和形态,探索居民点布局类型及优化路径。结果表明:(1)在空间分布上,呈"西密东稀"的分布格局;(2)在规模结构上,农村居民点间呈正的空间自相关性,但相关程度较低,西部存在多个低值集簇区,东部多随机分布;(3)离城镇、河流、交通近的区域居民点分布多,形状指标也较大;(4)通过多维度特征组合方法,将万州区农村居民点划分为18种布局形式,以中等规模-形态规整-优势区位、大规模-形态规整-优势区位为主,并从发展模式、基础建设、生态涵养等方面提出相应的优化调控路径。 By using ESDA, spatial statistical method and the combination matrix method with ArcGIS, Geoda and Fragtats softwares, this paper aims to analyze the patterns, the spatial distribution, and the scale structure of rural settlements, and then to explore the optimal regulation of rural settlement layout. The results of this research showed that: 1) The spatial distribution of rural settlements appeared dense in the west and sparse in the east of Wanzhou District; 2) The scale showed weakly positive spatial autocorrelationamong rural settlements in Wanzhou. They mostly clustered in the west and stochasticallyscattered in the east; 3) More rural settlements distributed near the towns, rivers, and transportations, and their shape indices were also bigger; 4) By using the combination matrix method, the spatial distribution pattern of rural settlements in Wanzhou was divided into 18 types, and mainly included "medium size- regular configuration-advantageous location" and "large size-regular configuration-advantageous location". This paper also proposed the corresponding optimization path based on development patterns, infrastructure, ecological conservation.